📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Early MRI correlates of the presence of cognitive dysfunction in people with Multiple Sclerosis. (2022)

First Author: Jessica Hill. BMedSci Thesis. School Of Medicine, University Of Nottingham. Principal Supervisor: Radu Tanasescu. Co-Supervisor: Nikos Evangelou.

Attributed to: AI gets real: using routine clinical data and Artificial Intelligence to predict worsening of Multiple Sclerosis despite treatment (AIMS) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Type: Thesis